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A. The SYM-H time profile based on our extended model (Equation 4) is calculated for different parameter pairs [α i, β i].
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This is a simple sampler module which has CV inputs for different parameters allowing for some bizarre results.
Thus, different cases may be included for different parameters.
Further, it is observed that for the same sequence, relative changes between the P and SP frames for various different quantization parameter pairs (QPSP and QPSP2) are different [14, 18] and hence the relative changes between the "downstairs" with and without SP-frames.
The possible assignments of the T averaging parameter are shown in Table 4. Regarding the Meta-algorithm [14], we employed the Kolmogorov-Smirnov statistic over intervals and tested different assignments for the parameter pair (n,p 9(see Table 4).
τ, G c, and G ads parameters were then adjusted such that various viscosity ratios for different fluid pairs with the desired IFT and θ data could be achieved.
We prepared 16 types of simulators with different parameter settings and obtained 100 matrix pairs from 100 Monte Carlo trials for each simulator.
The results of the different parameters for each enzyme pair combination are shown in Table 1.
All OTT blocks for different channel pair signals share the same quantization codebooks of spatial parameters.
To accommodate adaptive evolution among genotypes with different parameter values, we suppose that different X, Y genotype pairs are each growing in separate local patches.
The taps are assumed to be uncorrelated for different pairs, and also for different discrete times.
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